Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.11505.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T16:33:16.365797Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T22:44:24.398594Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation aea11f55-a000-4d17-886e-72e4882dc9ec · inbound
MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification cites this paper.
MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T22:44:24.400497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 84c7cf7c-66c0-484d-8e7c-85b799b2a2d5 · inbound
Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays cites this paper.
Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:33:16.365797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.